Educational and Scientific Data Science Laboratory

The research laboratory of software for automated systems was created in 1993. The modern name Educational and Scientific Data Science Laboratory聽was received according to the decision of the meeting of the department of PI dated September 01, 2020.

The Laboratory fulfils the research in the following areas: data mining, artificial intelligence, mathematical modeling of intelligent processes, Big Data, Data Science and the development of intelligent software systems.


Science and educational process

Data Science Laboratory 鈩 240 belongs to Software Engineering Department.

The Department of Software Engineering trains students in three levels of higher education (121 speciality):

  • Bachelor鈥檚 degree in Software Engineering (educational program 鈥 Software Engineering);
  • Master鈥檚 Degree in Software Engineering (educational programs 鈥 Software Engineering and Systems Software);
  • Ph.D. in Software Engineering.

Curricula are consistent with international standards for training programmers.


Projects

  • Academic mobility project Erasmus+ KA1 between Kharkiv National University of Radio Electronics and HTW SAAR (https://www.htwsaar.de/), Germany
  • Academic mobility project Erasmus+ KA1 between Kharkiv National University of Radio Electronics and RTU (https://www.rtu.lv/en), Latvia
  • Academic mobility project Erasmus+ KA1 between Kharkiv National University of Radio Electronics and VIKO (https://en.viko.lt/), Lithuania

Scientific seminars

Within the laboratory, scientific seminars in the field of Data Science are held.


The results of publication work are indicated in the profiles of employees in .

Zoia Dudar

Head of the laboratory

Zoia Dudar

Professor of the Department of Software Engineering, Member of Academic Council, Acting head of section 3 of EMC, Member of STC, Candidate of Science (Technology), Professor

Contacts

room聽 240

zoia.dudar@nure.ua